Sort by
Refine Your Search
-
Employer
- UNIVERSITY OF SOUTHAMPTON
- The University of Southampton
- University of Birmingham
- University of Nottingham
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF VIENNA
- University of Hertfordshire;
- ;
- AALTO UNIVERSITY
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UCL;
- UNIVERSITY OF HERTFORDSHIRE
- University of Leeds
- University of Manchester
- University of Oxford
- University of Oxford;
- University of Sheffield
- University of Southampton;
- 8 more »
- « less
-
Field
-
. Building on strong preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define and exploit therapeutically relevant subsets. The Research Fellow will lead
-
entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
-
will be part of the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to understand how climate will
-
this role, you will contribute to TOZCA’s whole‑aircraft noise prediction capability, ensuring acoustics are robustly represented within the project’s wider modelling framework. You will develop, apply and
-
this role, you will contribute to TOZCA’s whole‑aircraft noise prediction capability, ensuring acoustics are robustly represented within the project’s wider modelling framework. You will develop, apply and
-
relevant subject, or significant industrial experience directly related to mechanical engineering or mathematical modelling of engineering relevant systems is also essential. What we offer: A friendly
-
Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management
-
develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
-
component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in
-
deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications